Cees Jol, Junhan Wen, Jan van Gemert (2023), Non-Destructive Infield Quality Estimation of Strawberries using Deep Architectures, Cristina Ceballos (Eds.), In Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) p.515-524, IEEE .

Xin Liu, Jan C. van Gemert, Fatemeh Karimi Nejadasl, Olaf Booij, Silvia L. Pintea (2023), Objects do not disappear: Video object detection by single-frame object location anticipation, Cristina Ceballos (Eds.), In Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV) p.6927-6938, IEEE .

Casper van Engelenburg, Seyran Khademi, Jan van Gemert (2023), SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity, In Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 p.1565-1574, IEEE .

Joris Quist, Yunqiang Li, Jan van Gemert (2023), Understanding weight-magnitude hyperparameters in training binary networks.

T.F. Edixhoven, A. Lengyel, J.C. van Gemert (2023), Using and Abusing Equivariance, In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops p.119-128.

Ombretta Strafforello, Xin Liu, Klamer Schutte, Jan van Gemert (2023), Video BagNet: Short temporal receptive fields increase robustness in long-term action recognition, Cristina Ceballos (Eds.), In Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) p.159-166, IEEE .

Robert-Jan Bruintjes, Tomasz Motyka, Jan van Gemert (2023), What Affects Learned Equivariance in Deep Image Recognition Models?, Lisa O’Conner (Eds.), In Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) p.4839-4847, IEEE .

Burak Yildiz, Seyran Khademi, Ronald Maria Siebes, Jan Van Gemert (2022), AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift, In 2022 26th International Conference on Pattern Recognition, ICPR 2022 p.2749-2755, Institute of Electrical and Electronics Engineers (IEEE).

Zhao Yin, Victor Jacobus Geraedts, Ziqi Wang, Maria Fiorella Contarino, Hamdi Dibeklioglu, Jan Van Gemert (2022), Assessment of Parkinson's Disease Severity from Videos Using Deep Architectures, In IEEE Journal of Biomedical and Health Informatics Volume 26 p.1164-1176.

L. Zeng, A. Lengyel, N. Tömen, J.C. van Gemert (2022), Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation, In 33rd British Machine Vision Conference 2022, {BMVC} 2022, London, UK, November 21-24, 2022, BMVA Press.